Text Analysis Using R (Online)

This course will be offered via Zoom only. However, this course will not be recorded.

This is a 3-afternoon (2/8/21, 2/10/21, 2/12/21) course.
 
This workshop will introduce participants to the basics of text analysis in R. Text analysis is a promising new approach that uses machine learning to discover patterns, trends, and other information by using text as data. For example, in measuring misinformation on social media to study how candidates have changed their campaign rhetoric over time, text analysis has an incredibly broad scope of applications.

In this course, participants will develop the skills and understanding necessary to collect text data from a variety of sources, including websites and APIs. Participants will gain practical skills for completing their own analyses using text as data. Basic to intermediate knowledge of programming in R is required; no background in statistics is necessary.

Instructor: Rachel Porter

Registration fees

• UNC-CH Students/Faculty/Staff/Postdocs: $0, with a $20 deposit to hold your spot (deposit is refundable upon your attendance for at least 66% of the course)
• Non-UNC CH: $45 (nonrefundable)

Register Here

This class will be offered via Zoom ONLY. Registration closes at 12:01am on 2/5/2021. Once registration closes, no late registrations will be accepted. NO EXCEPTIONS!

Cancellation/Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within the 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.

Zoom link for this course will be sent prior to the course. Registration must be made at least 3 days prior to the course date to receive the Zoom link.